自动驾驶汽车 AR-HUD 警告界面中的颜色梯度和表情符号对接管性能和驾驶员情绪的影响

IF 1.6 3区工程技术 Q3 PUBLIC, ENVIRONMENTAL & OCCUPATIONAL HEALTH

Traffic Injury Prevention Pub Date : 2024-04-05 DOI:10.1080/15389588.2024.2337120

Kaidi Yu , Dandan Du , Dongyu Yu , Jinyi Zhi , Yun Wang , Chunhui Jing

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引用次数: 0

摘要

本研究探讨了增强现实平视显示器（AR-HUD）警告界面中的颜色渐变和表情符号对驾驶员情绪和接管性能的影响。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

查看原文本刊更多论文

Effects of a color gradient and emoji in AR-HUD warning interfaces in autonomous vehicles on takeover performance and driver emotions

Objective

This study examined the effects of color gradients and emojis in an augmented reality-head-up display (AR-HUD) warning interface on driver emotions and takeover performance.

Methods

A total of 48 participants were grouped into four different warning interfaces for a simulated self-driving takeover experiment. Two-way analysis of variance and the Kruskal–Wallis test was used to analyze takeover time, mood, task load, and system availability.

Results

Takeover efficiency and task load did not significantly differ among the interfaces, but the interfaces with a color gradient and emoji positively affected drivers’ emotions. Emojis also positively affected emotional valence, and the color gradient had a high emotional arousal effect. Both the color gradient and the emoji interfaces had an inhibitory effect on negative emotions. The emoji interface was easier to learn, reducing driver learning costs.

Conclusions

These findings offer valuable insights for designing safer and more user-friendly AR-HUD interfaces for self-driving cars.

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来源期刊

Traffic Injury Prevention PUBLIC, ENVIRONMENTAL & OCCUPATIONAL HEALTH-

CiteScore

3.60

自引率

10.00%

发文量

137

审稿时长

3 months

期刊介绍： The purpose of Traffic Injury Prevention is to bridge the disciplines of medicine, engineering, public health and traffic safety in order to foster the science of traffic injury prevention. The archival journal focuses on research, interventions and evaluations within the areas of traffic safety, crash causation, injury prevention and treatment. General topics within the journal''s scope are driver behavior, road infrastructure, emerging crash avoidance technologies, crash and injury epidemiology, alcohol and drugs, impact injury biomechanics, vehicle crashworthiness, occupant restraints, pedestrian safety, evaluation of interventions, economic consequences and emergency and clinical care with specific application to traffic injury prevention. The journal includes full length papers, review articles, case studies, brief technical notes and commentaries.